Yungang Zhang

Orcid: 0000-0002-8279-3109

According to our database1, Yungang Zhang authored at least 43 papers between 2003 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Enhancing game customer churn prediction with a stacked ensemble learning model.
J. Supercomput., January, 2025

2024
DS-SRD: a unified framework for structured representation distillation.
Multim. Syst., December, 2024

Dual convolutional neural network with attention for image blind denoising.
Multim. Syst., October, 2024

Dual residual attention network for image denoising.
Pattern Recognit., 2024

Two-stage Progressive Residual Dense Attention Network for Image Denoising.
CoRR, 2024

2023
FEUNet: a flexible and effective U-shaped network for image denoising.
Signal Image Video Process., July, 2023

Recent progress in image denoising: A training strategy perspective.
IET Image Process., May, 2023

A Method for Measuring the Inclination of Forgings Based on an Improved Optimization Algorithm for Fitting Ellipses.
IEEE Trans. Instrum. Meas., 2023

Dual Residual Attention Network for Image Denoising.
CoRR, 2023

Image Blind Denoising Using Dual Convolutional Neural Network with Skip Connection.
CoRR, 2023

DCANet: Dual Convolutional Neural Network with Attention for Image Blind Denoising.
CoRR, 2023

2022
Quantitative Detection of Multicomponent SF<sub>6</sub> Decomposition Products Based on Fourier Transform Infrared Spectroscopy Combined With CARS-ELM Algorithm.
IEEE Trans. Instrum. Meas., 2022

Mirror-Yolo: An attention-based instance segmentation and detection model for mirrors.
CoRR, 2022

Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model.
Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022

DTTrack: Target Tracking Algorithm Combining DaSiamRPN Tracker and Transformer Tracker.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
Robust Local Structure Visualization for Remote Sensing Image Registration.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Progressive structure network-based multiscale feature fusion for object detection in real-time application.
Eng. Appl. Artif. Intell., 2021

Combining Adversarial Training and Relational Graph Attention Network for Aspect-Based Sentiment Analysis with BERT.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020
Low-dose CT Image Denoising Using Classification Densely Connected Residual Network.
KSII Trans. Internet Inf. Syst., 2020

2019
A Brief Review of Recent Progress in Fashion Landmark Detection.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018
Landmark-Guided Local Deep Neural Networks for Age and Gender Classification.
J. Sensors, 2018

Generative Adversarial Network for Deblurring of Remote Sensing Image.
Proceedings of the 26th International Conference on Geoinformatics, 2018

The Information Cascade and Self-Perception Bias in Comprehensive Performance Incentive Model.
Proceedings of the 26th International Conference on Geoinformatics, 2018

Recent Advances in Deep Learning for Single Image Super-Resolution.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017
Single Image Super-Resolution by Non-Linear Sparse Representation and Support Vector Regression.
Symmetry, 2017

Image categorization using non-negative kernel sparse representation.
Neurocomputing, 2017

Boosted non-linear and non-negative sparse learning for single image super-resolution.
Proceedings of the 13th International Conference on Natural Computation, 2017

2015
Erratum to: One-class kernel subspace ensemble for medical image classification.
EURASIP J. Adv. Signal Process., 2015

Non-Negative Kernel Sparse Coding for Image Classification.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

2014
Cascade of classifier ensembles for reliable medical image classification.
PhD thesis, 2014

One-class kernel subspace ensemble for medical image classification.
EURASIP J. Adv. Signal Process., 2014

2013
A Real-Time Error Resilient Video Streaming Scheme Exploiting the Late- and Early-Arrival Packets.
IEEE Trans. Broadcast., 2013

Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles.
Mach. Vis. Appl., 2013

Strong and weak stability of bipartite ranking algorithms.
Proceedings of the Fifth International Conference on Digital Image Processing, 2013

2012
Hybrid model of self-organizing map and kernel auto-associator for internet intrusion detection.
Int. J. Intell. Comput. Cybern., 2012

Image Retrieval Based on GA Integrated Color Vector Quantization and Curvelet Transform.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Highly reliable breast cancer diagnosis with cascaded ensemble classifiers.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2008
Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling.
IEEE Trans. Speech Audio Process., 2008

2005
Separation of Music Signals by Harmonic Structure Modeling.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Separation of Voice and Music by Harmonic Structure Stability Analysis.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

2004
Erratum to "Distance metric learning by knowledge embedding" [Pattern Recognition 37(1)161-163(2004)].
Pattern Recognit., 2004

Distance metric learning by knowledge embedding.
Pattern Recognit., 2004

2003
Clustering in Knowledge Embedded Space.
Proceedings of the Machine Learning: ECML 2003, 2003


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